Informações sobre o curso
4.1
36 ratings
7 reviews
This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications....
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cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Intermediate Level

Nível intermediário

Clock

Sugerido: 5 hours/week

Aprox. 22 horas restantes
Comment Dots

English

Legendas: English, Spanish, Chinese (Simplified)
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Intermediate Level

Nível intermediário

Clock

Sugerido: 5 hours/week

Aprox. 22 horas restantes
Comment Dots

English

Legendas: English, Spanish, Chinese (Simplified)

Programa - O que você aprenderá com este curso

1

Seção
Clock
3 horas para concluir

Course Logistics and the Text Mining Tool for the Course

...
Reading
4 vídeos (Total de 53 min), 1 leitura, 1 teste
Video4 videos
1.2 Explanations of the y-TextMiner package and the datasets9min
1.3 How-to-do: workspace installation and setup15min
1.4 How-to-use: the y-TextMiner package (download it at http://informatics.yonsei.ac.kr/yTextMiner/yTextMiner1.2.zip)13min
Reading1 leituras
What is Text Mining?10min

2

Seção
Clock
3 horas para concluir

Text Preprocessing

...
Reading
5 vídeos (Total de 67 min), 1 leitura, 1 teste
Video5 videos
2.2 What is text mining?10min
2.3 Description of preprocessing techniques11min
2.4 How-to-do: normalization including tokenization and lemmatization20min
2.5 How-to-do: N-Grams14min
Reading1 leituras
Text Preprocessing10min

3

Seção
Clock
3 horas para concluir

Text Analysis Techniques

...
Reading
6 vídeos (Total de 62 min), 2 leituras, 1 teste
Video6 videos
3.2 Explanations of named entity recognition11min
3.3 Explanations of dependency parsing8min
3.4 How-to-do: stopword removal and stemming14min
3.5 How-to-do: NER and POS Tagging6min
3.6 How-to-do: constituency and dependency parsing9min
Reading2 leituras
Stemming and Lemmatization10min
Named Entity Recognition10min

4

Seção
Clock
3 horas para concluir

Term Weighting and Document Classification

...
Reading
5 vídeos (Total de 52 min), 2 leituras, 1 teste
Video5 videos
4.2 Explanations of document classification11min
4.3 Explanations of sentiment analysis9min
4.4 How-to-do: computation of tf*idf weighting10min
4.5 How-to-do: classification with Logistic Regression11min
Reading2 leituras
Text Classification10min
TF-IDF10min
4.1

Melhores avaliações

por KAMay 31st 2017

Excellent theory and hands-on lab codes. It'd be great if you could also cover how-to in other relevant programming languages using R or Python.

Instrutores

Min Song

Professor
Library & Information Technology

Sobre Yonsei University

Yonsei University was established in 1885 and is the oldest private university in Korea. Yonsei’s main campus is situated minutes away from the economic, political, and cultural centers of Seoul’s metropolitan downtown. Yonsei has 3,500 eminent faculty members who are conducting cutting-edge research across all academic disciplines. There are 18 graduate schools, 22 colleges and 133 subsidiary institutions hosting a selective pool of students from around the world. Yonsei is proud of its history and reputation as a leading institution of higher education and research in Asia....

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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